158 computer-science-intern "https:" "https:" "https:" "https:" "DESY" positions at Aarhus University
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computing capacities as well as an extensive national and international researcher network. The department consists of nine research sections with around 350 highly skilled employees, of which approximately
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at the highest international level, to offer research based teaching at Bachelor of Science, Master of Science and PhD levels, and to exchange knowledge with other areas of society, e.g. by offering our expertise
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Computer Engineering, you will also work closely with the geophysicists from the Hydrogeophysics Group (HGG) at the Department of Geoscience, as well as international partners in Ethiopia. You will also have
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computational scientists. The position offers a unique opportunity to work at the interface of landscape ecology, biodiversity science, climate mitigation, and sustainable agriculture, contributing directly to
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with international and interdisciplinary colleagues. There will be close collaborations with colleagues at the University of Wisconsin-Madison and Virginia Tech (USA). In the Computational Limnology team
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main tasks will consist of: Independent research of high international quality, including publication. Strong interest in cancer biology. A desire to work with in vivo models. Additional specific tasks
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, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of nine research
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advice, and education. We offer professional laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international
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diverse and international research environment, dedicated employees are looking to generate new knowledge within biomedical research areas such as infection and inflammation, membranes, neuroscience and
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level, e.g. in medical physics, physics, biomedical engineering or computer science. It is mandatory that your PhD degree is on a topic relevant for this specific position, e.g. in medical image-based